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The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.

, , , and . COLING, page 3652-3659. International Committee on Computational Linguistics, (2020)

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BaDumTss: Multi-task Learning for Beatbox Transcription., , , and . PAKDD (3), volume 13282 of Lecture Notes in Computer Science, page 173-186. Springer, (2022)Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales., , , , , , , , and . ACL (1), page 7103-7128. Association for Computational Linguistics, (2023)ER-Test: Evaluating Explanation Regularization Methods for Language Models., , , , , , and . EMNLP (Findings), page 3315-3336. Association for Computational Linguistics, (2022)CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities., , , and . WSDM, page 330-338. ACM, (2019)The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks., , , and . COLING, page 3652-3659. International Committee on Computational Linguistics, (2020)It's Not What They Play, It's What You Hear: Understanding Perceived vs. Induced Emotions in Hindustani Classical Music., , , and . ICMI Companion, page 42-46. ACM, (2020)Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services., , , and . ASONAM, page 242-249. IEEE Computer Society, (2018)XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models., , , , , , , , , and 1 other author(s). ACL (demo), page 264-273. Association for Computational Linguistics, (2023)